Keith Farnsworth

Dr. Keith Farnsworth

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Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 October 2005 in Science
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Journal Article
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SBStuart Bearhop
Stuart Bearhop
WFWolfgang Fiedler
Wolfgang Fiedler
RFRobert W. Furness
Robert W. Furness
SVStephen C. Votier
Stephen C. Votier
SWSusan Waldron
Susan Waldron
KFKeith Farnsworth
Keith Farnsworth
There have been numerous recent observations of changes in the behavior and dynamics of migratory bird populations, but the plasticity of the migratory trait and our inability to track small animals over large distances have hindered investigation of the mechanisms behind migratory change. We used habitat-specific stable isotope signatures to show that recently evolved allopatric wintering populations of European blackcaps Sylvia atricapilla pair assortatively on their sympatric breeding grounds. Birds wintering further north also produce larger clutches and fledge more young. These findings describe an important process in the evolution of migratory divides, new migration routes, and wintering quarters. Temporal segregation of breeding is a way in which subpopulations of vertebrates may become isolated in sympatry.

26 September 2013 in Biological Invasions
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Journal Article
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JDJaimie T. A. Dick
Jaimie T. A. Dick
MAMhairi E. Alexander
Mhairi E. Alexander
JJJonathan M. Jeschke
Jonathan M. Jeschke
ARAnthony Ricciardi
Anthony Ricciardi
HMHugh J. MacIsaac
Hugh J. MacIsaac
DRDavid M. Richardson
David M. Richardson
Invasion ecology urgently requires predictive methodologies that can forecast the ecological impacts of existing, emerging and potential invasive species. We argue that many ecologically damaging invaders are characterised by their more efficient use of resources. Consequently, comparison of the classical ‘functional response’ (relationship between resource use and availability) between invasive and trophically analogous native species may allow prediction of invader ecological impact. We review the utility of species trait comparisons and the history and context of the use of functional responses in invasion ecology, then present our framework for the use of comparative functional responses. We show that functional response analyses, by describing the resource use of species over a range of resource availabilities, avoids many pitfalls of ‘snapshot’ assessments of resource use. Our framework demonstrates how comparisons of invader and native functional responses, within and between Type II and III functional responses, allow testing of the likely population-level outcomes of invasions for affected species. Furthermore, we describe how recent studies support the predictive capacity of this method; for example, the invasive ‘bloody red shrimp’Hemimysis anomalashows higher Type II functional responses than native mysids and this corroborates, and could have predicted, actual invader impacts in the field. The comparative functional response method can also be used to examine differences in the impact of two or more invaders, two or more populations of the same invader, and the abiotic (e.g. temperature) and biotic (e.g. parasitism) context-dependencies of invader impacts. Our framework may also address the previous lack of rigour in testing major hypotheses in invasion ecology, such as the ‘enemy release’ and ‘biotic resistance’ hypotheses, as our approach explicitly considers demographic consequences for impacted resources, such as native and invasive prey species. We also identify potential challenges in the application of comparative functional responses in invasion ecology. These include incorporation of numerical responses, multiple predator effects and trait-mediated indirect interactions, replacement versus non-replacement study designs and the inclusion of functional responses in risk assessment frameworks. In future, the generation of sufficient case studies for a meta-analysis could test the overall hypothesis that comparative functional responses can indeed predict invasive species impacts.

7 September 2012 in Biological Invasions
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Journal Article
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JDJaimie T. A. Dick
Jaimie T. A. Dick
KGKevin Gallagher
Kevin Gallagher
SASuncica Avlijas
Suncica Avlijas
HCHazel C. Clarke
Hazel C. Clarke
SLSusan E. Lewis
Susan E. Lewis
ARAnthony Ricciardi
Anthony Ricciardi

1 June 1995 in Functional Ecology
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Journal Article
Closed access
KFKeith Farnsworth
Keith Farnsworth
KNK. J. Niklas
K. J. Niklas

3 April 2020 in Scientific Reports
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Journal Article
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PHPhilip G. Hamill
Philip G. Hamill
ASAndrew Stevenson
Andrew Stevenson
PMPhillip E. McMullan
Phillip E. McMullan
JWJames P. Williams
James P. Williams
ALAbiann D. R. Lewis
Abiann D. R. Lewis
JHJohn Hallsworth
John Hallsworth
Measures of microbial growth, used as indicators of cellular stress, are sometimes quantified at a single time-point. In reality, these measurements are compound representations of length of lag, exponential growth-rate, and other factors. Here, we investigate whether length of lag phase can act as a proxy for stress, using a number of model systems (Aspergillus penicillioides; Bacillus subtilis; Escherichia coli; Eurotium amstelodami, E. echinulatum, E. halophilicum, and E. repens; Mrakia frigida; Saccharomyces cerevisiae; Xerochrysium xerophilum; Xeromyces bisporus) exposed to mechanistically distinct types of cellular stress including low water activity, other solute-induced stresses, and dehydration-rehydration cycles. Lag phase was neither proportional to germination rate for X. bisporus (FRR3443) in glycerol-supplemented media (r2 = 0.012), nor to exponential growth-rates for other microbes. In some cases, growth-rates varied greatly with stressor concentration even when lag remained constant. By contrast, there were strong correlations for B. subtilis in media supplemented with polyethylene-glycol 6000 or 600 (r2 = 0.925 and 0.961), and for other microbial species. We also analysed data from independent studies of food-spoilage fungi under glycerol stress (Aspergillus aculeatinus and A. sclerotiicarbonarius); mesophilic/psychrotolerant bacteria under diverse, solute-induced stresses (Brochothrix thermosphacta, Enterococcus faecalis, Pseudomonas fluorescens, Salmonella typhimurium, Staphylococcus aureus); and fungal enzymes under acid-stress (Terfezia claveryi lipoxygenase and Agaricus bisporus tyrosinase). These datasets also exhibited diversity, with some strong- and moderate correlations between length of lag and exponential growth-rates; and sometimes none. In conclusion, lag phase is not a reliable measure of stress because length of lag and growth-rate inhibition are sometimes highly correlated, and sometimes not at all.

1 July 2012 in Ecological Indicators
Verified
Journal Article
Closed access
OLOlga Lyashevska
Olga Lyashevska
KFKeith Farnsworth
Keith Farnsworth